Big data analytics in supply chain management a state-of-the-art literature review

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Big Data Analytics In Supply Chain Management A State-of-the-art Literature Review


The transportation industry has been a little slower to evolve In the face of the disruption caused by COVID-19, agile, networked ecosystems are the key to supply chain resilience.Global supply big data analytics in supply chain management a state-of-the-art literature review chain management 8 Predictive analytics 9 How Deloitte can help 10 Introducing the Deloitte team 11.Supply Chain Analytics In the past few years, BDA has proven to be a true advantage for decision support systems, encouraging.This study conducts a systematic literature review of 36 relevant papers published in the past 10 years.This study conducts a systematic literature review of 36 relevant papers published in the past 10 years.It examines key practical issues from a business, risk and operational.Thus, we keep all materials confidential.Research on this emerging field is increasing but generally underexplored.Companies are aware that Big Data can be leveraged at various levels of a business.An increasingly popular tool, real-time alerts provide timely information on all shipping activities.Our search found 17 articles The notion of Big Data Analytics (BDA) is a prominent facet that delivers the best possible solution to decision-makers for efficiently handling the problems related to huge data.This holds true for supply chain management also The main objective of this study is to provide a literature review of big data analytics for supply chain management.Our analysis maps four types of BDA techniques, namely.When supply chain management (SCM) intersects with Big Data Analytics (BDA), uncountable opportunities for research emerge.This study conducts a systematic literature review of 36 relevant papers published in the past 10 years.177-200 Big data analytics (BDA) is gaining considerable attention from academics and practitioners as a critical enabler of green supply chain management (GSCM).Research on this emerging field is increasing but generally underexplored.Today's ERP systems and supply chain software packages use advanced analytic techniques.Big data create different capabilities in the supply chain that provides networks with greater data accuracy, insights, and clarity and also create a greater e-contextual intelligence shared across the supply chains.The COVID-19 pandemic has been one of the biggest disruptive events of recent decades and has had a global effect on society and the economy.This thesis, through a thorough literature and content review, discusses the various ways that data analytics and supply chain management intersect.63 billion in 2021 and is projected to grow at a CAGR of 25% during the forecast.

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Research on this emerging field is increasing but generally underexplored.Big Data and supply chain management: a review and bibliometric analysis Deepa Mishra, Angappa Gunasekaran, Thanos Papadopoulos and Stephen J.The ability to collect and analyze information in real-time from across the global supply and distribution networks enables a company to manage the cost efficiency, responsiveness, and resilience of their supply chains Types of Tools.The main objective big data analytics in supply chain management a state-of-the-art literature review of this study is to provide a literature review of big data analytics for supply chain management.Childe 6 June 2016 | Annals of Operations Research, Vol.Our analysis maps four types of BDA techniques, namely.Big data analytics (BDA) is gaining considerable attention from academics and practitioners as a critical enabler of green supply chain management (GSCM).Research on this emerging field is increasing but generally underexplored.Big data analytics in supply chain management: A state-of-the-art literature review Author links open overlay panel Truong Nguyen a Li ZHOU a Virginia Spiegler b Petros Ieromonachou a Yong Lin a Show more.Big Data Analytics offers companies the ability to leverage on the enormous amounts of information driving their global supply chains, Harvard Business review, (2013).You will be redirected to the full big data analytics in supply chain management a state-of-the-art literature review text document in the repository in a few seconds, if not click here.Description Big Data and Data Analytics Market.Our search found 17 articles Home Conferences SBSI Proceedings SBSI'20 Big Data Analytics applied in Supply Chain Management: A Systematic Mapping Study research-article Big Data Analytics applied in Supply Chain Management: A Systematic Mapping Study.This paper reviews the literature big data analytics in supply chain management a state-of-the-art literature review on ‘Big Data and supply chain management (SCM.Unfortunately, how analytics can be applied to supply chain processes is still unclear for both academics and industries.A review of articles related to the topics was done within SCOPUS, the largest abstract and citation database of peer-reviewed literature.Our analysis maps four types of BDA techniques, namely.To start a new section, hold down the apple+shift keys and click Big data and analytics in the automotive industry Automotive analytics thought piece 1..This study conducts a systematic literature review of 36 relevant papers published in the past 10 years.The notion of Big Data Analytics (BDA) is a prominent facet that delivers the best possible solution to decision-makers for efficiently handling the problems related to huge data.Net's services, on the other hand, is a Big Data Analytics In Supply Chain Management A State Of The Art Literature Review.This paper aims to investigate the influence of big data analytics (BDA) personnel expertise capabilities in the development of supply chain (SC) agility.In: Proceedings of the international conference on industrial engineering and operations management, 2018(SEP); 2018, p.However, the specific impact of COVID-19 on consumer satisfaction at the customer end of retail supply chains, i.Our search found 17 articles 6.Our analysis maps four types of BDA techniques, namely.Production Planning & Control: Vol.After this stage 166 elements were eligible for the next phase They were from ACCOUNTING 203 at Adult High - Under 18.International Journal of Logistics Research and Applications: Vol.Our analysis maps four types of BDA techniques, namely.It examines key practical issues from a business, risk and operational.‪Cadi Ayyad University‬ - ‪‪Cited by 388‬‬ - ‪Lean‬ - ‪Industry 4.0‬ - ‪big data analytics‬ - ‪Supply chain management‬ - ‪circular economy‬.This should allow the potential research areas that for future investigation to be identified.Unfortunately, how analytics can be applied to supply chain processes is still unclear for both academics and industries.

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